60 parallel-and-distributed-computing-phd-"Multiple" positions at The University of Southampton in United Kingdom
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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The CORNERSTONE Photonics Innovation Centre (C-PIC) at the University of Southampton has a mission to create a pipeline of Silicon Photonics enabled companies serving multiple industry sectors by
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statistical analysis plans. The post holder will work closely with a range of colleagues and partners, including other statisticians, research fellows, computing staff, and research doctors and nurses. The post
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: Learning and implementation of project and commercial management tools and techniques. The successful AI engineer will have the following skills, experience and attributes: PhD or equivalent professional
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a friendly manner and excellent customer service skills are essential to this role. What you’ll do Delivering IT equipment to customers across multiple sites Driving and maintaining a large Transit
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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or knowledge of abstracting and indexing databases. Have experience or knowledge of academic publishing including open research and funder guidelines Be confident working with multiple sources of data Be able
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the